Principal component analysis and neural networks for detection of amino acid biosignatures

Details Principal component analysis and neural networks for detection of amino acid biosignatures Principal component analysis and neural networks for detection of amino acid biosignatures

Dec 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003icar..166..403d&link_type=abstract

Icarus, Volume 166, Issue 2, p. 403-409.

Biology

1

Life Detection, Exobiology, Amino Acids, Meteorites, Murchison, Neutral Networks, Principal Component Analysis

Scientific paper

We examine the applicability of Principal Component Analysis (PCA) and Artificial Neural Network (ANN) methods of data analysis to biosignature detection. These techniques show promise in classifying and simplifying the representation of patterns of amino acids resulting from biological and non-biological syntheses. PCA correctly identifies glycine and alanine as the amino acids contributing the most information to the task of discriminating biotic and abiotic samples. Trained ANNs correctly classify between 86.1 and 99.5% of a large set of amino acid samples as biotic or abiotic. These and similar techniques are important in the design of automated data analysis systems for robotic missions to distant planetary bodies. Both techniques are robust with respect to noisy and incomplete data. Analysis of the performance of PCA and ANNs also lends insight into the localization of useful information within a particular data set, a feature that may be exploited in the selection of experiments for efficient mission design.

Affiliated with

Also associated with

No associations

Rating

Principal component analysis and neural networks for detection of amino acid biosignatures does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Principal component analysis and neural networks for detection of amino acid biosignatures, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Principal component analysis and neural networks for detection of amino acid biosignatures will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-880409